Monitoring Confluent Cloud Clusters is crucial for its performance and reliability. With the increasing popularity of Confluent Cloud, more Application Performance Monitoring (APM) solutions are being integrated with it to provide better insights into cluster behavior. This blog post discusses how to build a full monitoring solution using Confluent Cloud, Prometheus, Grafana, Datadog, Splunk, and New Relic. It provides step-by-step instructions on setting up each service, including creating credentials for the Metrics API, configuring Docker Compose, and deploying the services using docker-compose. The solution uses Prometheus to scrape metrics from the Confluent Cloud cluster and sends them to Grafana for visualization. Datadog and Splunk can also be integrated with Confluent Cloud to provide additional monitoring capabilities. New Relic's Open Telemetry Collector is another option for collecting Confluent Cloud metrics, offering a vendor-agnostic way to receive, process, and export telemetry data. The blog post provides detailed instructions on setting up each service and integrating them with Confluent Cloud, making it easier for organizations to monitor their clusters and gain insights into their performance and reliability.